Providing comprehensive, high quality and insightful image reading service
The Casey Reading Center (CRC) is a comprehensive ophthalmic reading center with a customizable experience, offering a secured image transmission platform and sophisticated functional and imaging analysis to ensure the highest quality and insight derived from clinical trials.
The CRC also has extensive experience certifying clinical sites and guiding sites to acquire trial files or images with appropriate standards based on the standards.
Some of the services we provide include:
The Casey Reading Center (CRC), with 30+ years of experience in perimetry, provides our proprietary Visual Field Modeling and Analysis (VFMA),1 the most advanced topographic analysis of the visual field.
VFMA renders 3D surface models of the hill of vision (HOV) and its defects, providing quantitative functional measures.
CRC has provided VFMA data for many clinical trials targeting various inherited retinal diseases.2 We also provide custom visual field testing grid patterns based on the need of the trial. _____
1. Weleber RG et al. Transl Vis Sci Technol. 2015 Apr 28; 4(2):14.
2. Smith TB, et al. PLoS One. 2016 Apr 13;11(4).
The CRC has developed VFMA Overlay Tool, a proprietary novel software for Structure-Functions Assessment for clinical trials.
3D topographic surface analysis of HOV superimposed over corresponding OCT en face image allows the CRC to visualize precisely registered spatial relationship between structure and function as well as assess the longitudinal changes in function at a region of interest in the retina.
One of the useful applications of the Overlay software is to assess retinitis pigmentosa cases after gene therapy using viral vectors. HOV overlay allows measuring the functional changes within and/or outside the ‘bleb’ (vector injection site).
At the forefront of imaging development
The CRC partners with the Center for Ophthalmic Optics and Lasers (COOL Lab) at OHSU Casey Eye Institute to combine novel deep learning model-based programs with state-of-the-art OCT and OCTA technology to offer superior services, including:
Custom OCT analysis
Calculating cystic cavity volume, ellipsoid zone boundary detection, and quantification of foveal photoreceptor outer segment length.
Diagnosing diabetic retinopathy
Diabetic retinopathy severity is determined by noting the presence and the extent of several pathologic features. But with deep learning methods diabetic retinopathy can also be staged directly from OCTA data volumes without appealing to specific biomarkers. Our innovative model is not only highly accurate, but also produces novel biomarker activation maps that highlight pathologic features and can help clinicians verify algorithm output.1
Plexus-specific non-perfusion area quantification
Our novel deep learning based non-perfusion area detection algorithm is resilient to shadow artifacts and can segment this pathology in any plexus and in wide-field images. This approach has been used by the diabetic retinopathy clinical research network (DRCR.Net).2
Projection-resolved OCTA algorithm
Projection-resolved OCTA algorithm removes projection artifacts volumetrically providing clean images of the deepest capillaries in the retina.3
Imaging of choroidal neovascularization
Choroidal neovascularization can be imaged even before exudation occurs in age-related macular degeneration (AMD). Such lesions can be automatically segmented using deep learning.4
Artery and vein differentiation
Our cutting-edge approach based on deep learning can distinguish arteries (red) from veins (green) in both macular, optic disc, and wide-field images. With this capability, common OCTA metrics such as vessel density and tortuosity can be measured separately for arteries and veins, illuminating disease pathophysiology.5
Retinal fluid quantification
Our deep learning based fluid segmentation algorithm uses OCTA information together with structural OCT data to obtain accurate fluid volume measurements in 3D at high resolution (blue), and can be used to monitor treatment response (yellow: fluid imaged during follow up; red: retained fluid, green: successfully treated fluid).6
1 Zang P, et al. IEEE Trans Biomed Eng. 2021;68(6)
2 Guo Y, et al. Ophthalmol Sci. 2021; 1(2).
3 Wang J, et al. Biomed Opt Express. 2017; 8(3).
4 Wang J, et al. Biomed Opt Express. 2020; 11(2).
5 Gao M, et al. Ophthalmol Science. 2022.
6 Guo Y, et al. Transl Vis Sci Technol. 2020;9(2).
David J. Wilson, M.D., Founder
Dr. Wilson is Professor Emeritus of Ophthalmology at OHSU and former director of the Casey Eye Institute. Dr. Wilson’s research involves study of the pathophysiology of eye disease. He has a particular interest in oncology, inherited retinal disease and gene- and cell-based therapies.
Richard G. Weleber, M.D., Founder
Dr. Weleber was a Professor of Ophthalmology at OHSU Casey Eye Institute and chief of the ophthalmic genetics division.
Hiroshi Ishikawa, M.D., Medical Director
Dr. Ishikawa is a Professor of Ophthalmology at OHSU Casey Eye Institute. He as over 25 years of research experience in image processing for ocular imaging devices (i.e. optical coherence tomography (OCT), ultrasound biomicroscopy (UBM)) and machine learning applications in clinical ophthalmology.
Shobana Aravind, Ph.D., BS Pharm, CCRP, Director of Operations
Dr. Aravind has over 15 years of experience in clinical research administration, conduct of clinical trials and pharmaceutical product development. Data quality and data management have been her particular areas of expertise.
Yali Jia, Ph.D., Key Personnel
Yali Jia, PhD is an Associate Professor of Ophthalmology and Biomedical Engineering, Jennie P. Weeks Professor of Ophthalmology and associate director of Center for Ophthalmic Optics and Lasers at OHSU.
Her research interests include optical coherence tomography (OCT), OCT angiography, and retinal imaging
E-systems and quality
The CRC offers interactive and secure web-based software for the management of clinical trials. It is remotely accessible, allowing easy upload of data and image fi les from clinical sites while allowing real time access for the CRC, sponsors and clinical research organizations. Due to its accessibility, we have taken great pains to ensure the data housed within our database is electronically secured. The reading center software, database and server are FDA compliant for electronic records, according to 21 CFRP art 11, and we follow the FDA guidance put forth on General Principles of Software Validation; Final Guidance for Industry and FDA Staff. The data center and servers are maintained by a specialized team of information technology professionals. Data is backed-up daily and stored off-site. Servers are protected by SSL encryption, ongoing virus and malware surveillance, as well as scanning at the time of upload.
Publications from the Casey Reading Center
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News and links
Learn more about the work being done by the Casey Reading Center:
The Casey Reading Center looks forward to working with sponsors from the inception of a clinical trial through its conclusion to provide the best experience possible in obtaining verified data. Thank you for your interest in the Casey Reading Center.
Please send new inquiries to:
Shobana Aravind, Ph.D.,
Associate Director of the Casey Reading Center
General support: email@example.com
Phone: 503 418-2189